Demographics details for Bixby, OK vs Arlington heights, IL

Population Overview

Compare main population characteristics in Bixby, OK vs Arlington heights, IL.

Data Bixby Arlington heights
Population 29,800 75,195
Median Age 36.8 years 42.8 years
Median Income $93,765 $113,502
Married Families 44.0% 49.0%
Poverty Level 5% 5%
Unemployment Rate 3.3 5.1

Population Comparison: Bixby vs Arlington heights

  • The population in Arlington heights is higher at 75,195, compared to 29,800 in Bixby.
  • The median age in Arlington heights is higher at 42.8 years, compared to 36.8 years in Bixby.
  • Arlington heights has a higher median income of $113,502, compared to $93,765 in Bixby.
  • In Arlington heights, the percentage of married families is higher at 49.0%, compared to 44.0% in Bixby.
  • The poverty level is identical in both Bixby and Arlington heights at 5%.
  • Arlington heights has a higher unemployment rate at 5.1% compared to 3.3% in Bixby.

Demographics

Demographics Bixby vs Arlington heights provide insight into the diversity of the communities to compare.

Demographic Bixby Arlington heights
Black 2 3
White 71 71
Asian 4 11
Hispanic 7 9
Two or More Races 11 6
American Indian 5 Data is updating

Demographics Comparison: Bixby vs Arlington heights

  • In Arlington heights, the percentage of Black residents is higher at 3% compared to 2% in Bixby.
  • The percentage of White residents is the same in both Bixby and Arlington heights at 71%.
  • In Arlington heights, the Asian population stands at 11%, greater than 4% in Bixby.
  • Arlington heights has a higher percentage of Hispanic residents at 9%, compared to 7% in Bixby.
  • More residents identify as two or more races in Bixby at 11% compared to 6% in Arlington heights.
  • A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Arlington heights.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Bixby Arlington heights
Mental Health Not Good 15.8% 12.3%
Physical Health Not Good 9.2% 7.8%
Depression 24.5% 17.3%
Smoking 12.8% 10.1%
Binge Drinking 15.7% 20.0%
Obesity 32.1% 25.4%
Disability Percentage 8.0% 9.0%

Health Statistics Comparison: Bixby vs Arlington heights

  • More residents in Bixby report poor mental health at 15.8% compared to 12.3% in Arlington heights.
  • Depression is more prevalent in Bixby at 24.5% compared to 17.3% in Arlington heights.
  • Smoking is more prevalent in Bixby at 12.8% compared to 10.1% in Arlington heights.
  • More residents engage in binge drinking in Arlington heights at 20.0% compared to 15.7% in Bixby.
  • Obesity rates are higher in Bixby at 32.1% compared to 25.4% in Arlington heights.
  • There is a higher percentage of disabled individuals in Arlington heights at 9.0% compared to 8.0% in Bixby.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Bixby Arlington heights
No Schooling 0.5% (154) 0.4% (329)
High School Diploma 10.8% (3,233) 10.5% (7,880)
Less than High School 5.5% (1,652) 5.0% (3,740)
Bachelor's Degree and Higher 27.9% (8,313) 44.1% (33,171)

Education Levels Comparison: Bixby vs Arlington heights

  • A higher percentage of residents in Bixby have no formal schooling at 0.5% compared to 0.4% in Arlington heights.
  • A higher percentage of residents in Bixby hold a high school diploma at 10.8% compared to 10.5% in Arlington heights.
  • More residents in Bixby have less than a high school education at 5.5% compared to 5.0% in Arlington heights.
  • In Arlington heights, a larger share of residents have a bachelor's degree or higher at 44.1% compared to 27.9% in Bixby.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.